Kun Chen

Kun Chen is a Junior Spatial Data Scientist at Data-Pop Alliance. With a background in economics and finance, Kun completed an MSc in data science from Bocconi University (Italy), including an exchange semester at KU Leuven (Belgium).

Kun is a practitioner of using data to uncover insights and drive positive change. Her thesis on detecting gender stereotypes in generative language models not only underscores her analytical excellence, but also advocates for more equitable tech development. After graduation, Kun interned at the Climate and Earth Observation Unit of the World Food Programme, where she worked on the derivation and management of global rainfall phenology. She also contributed to the development of a climate anomalies monitoring pipeline crucial for food security. She is passionate about exploring the potential of earth observation data for climate risk assessment at DPA.